Utility Light Outage Detection via Luminance Analysis
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Solution Overview
Problem
Manual determination of utility light outages is inaccurate and resource-intensive, and existing methods for automating repair are complex and time-consuming.
Innovation Solution
A system and method that utilize a processor to analyze luminance and location data from utility light apparatuses, generate a map of malfunctioning areas, and control a vehicle to navigate and repair outages using video data and repair components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination methods are used to identify utility light outages, then the process can be performed with simple equipment, but the accuracy is poor and the process is unreliable
Solution Approach 1:
The patent replaces manual visual inspection with automated optical sensing systems. Luminance sensors mounted on vehicles automatically detect and measure light levels from utility lamps, converting optical information into quantitative data for objective outage identification and classification.
Solution Approach 2:
The patent introduces luminance data as an intermediary between the utility light apparatus and the determination system. By measuring and analyzing light intensity levels, the system objectively identifies outages and distinguishes between different types of malfunction without requiring direct human observation or complex diagnostic equipment at the light fixture.
2Productivity
If automated repair control systems are implemented, then repair processes can be standardized, but the system becomes complicated and time-consuming
Solution Approach 1:
The patent segments the utility light determination process into distinct categories based on luminance characteristics. By classifying outages as complete, partial, or double outages according to measured light levels, the system creates a structured framework that simplifies automated decision-making and repair dispatch.
Solution Approach 2:
The system enables self-service through automated data collection and analysis. Vehicles equipped with luminance sensors automatically detect, classify, and report utility light outages without human intervention, allowing the system to independently identify and prioritize repair needs based on objective measurements.
3Adaptability or versatility
If manual determination processes are used, then resource requirements are lower, but the process lacks flexibility and requires significant time investment
Solution Approach 1:
The patent enables continuous monitoring of utility light conditions through automated luminance measurements taken during vehicle travel. Rather than periodic manual inspections, the system continuously collects data along route paths, maintaining constant surveillance of utility light status and enabling immediate detection of outages.
Solution Approach 2:
The system performs preliminary classification of outages based on luminance data before dispatching repair resources. By pre-categorizing outages as complete, partial, or double outages based on measured light levels, the system prepares detailed information in advance that guides efficient resource allocation and repair prioritization.
Data Source
AI summary
A method and system for automatically determining a utility light malfunction is provided. The method includes receiving, from a first hardware device, luminance data specifying current luminance levels associated with utility light apparatuses. Location data specifying a geographical location for each utility light apparatus is retrieved and the luminance data and location data are analyzed with respect to historical luminance data and historical location data associated with the utility light apparatuses. The analysis results in determining that a group of utility light apparatuses include first current luminance levels differing from previous luminance levels of the group. A list and associated map specifying a group of geographical locations associated with the group is generated. A control signal enabling control of a vehicle is transmitted to the vehicle and associated video data is retrieved via the vehicle during travel in accordance with the map.